A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network

In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into three types: objective factors, subjective facto...

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Bibliographic Details
Main Authors: Yan Wang, Jie Su, Sulei Zhang, Siyao Guo, Peng Zhang, Mingqing Du
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2020/8848860